seq_id string | text string | repo_name string | sub_path string | file_name string | file_ext string | file_size_in_byte int64 | program_lang string | lang string | doc_type string | stars int64 | dataset string | pt string | api list |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
8824516219 | # -*- coding: utf-8 -*-
import argparse
import sys
import gym
from gym import wrappers, logger
import matplotlib.pyplot as plt
import torch
import torch.nn as nn
import numpy as np
import random
from random import choices
class RandomAgent(object):
def __init__(self, action_space):
"""Initialize an Agent... | ThibaudPerrin/tp2-bio-inspi | TP2_Cartpole.py | TP2_Cartpole.py | py | 5,135 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "torch.nn.MSELoss",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name": "torch.optim.Adam",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "torch.optim",
"li... |
74108338023 | # first order fluid-flow model based on the theory of planned behavior
from pylab import array, linspace
from scipy import integrate #for integrate.odeint
# setup logging
import logging
logging.basicConfig(filename='src/__logs/firstOrderModel2.log',\
level=logging.DEBUG,\
forma... | PIELab/behaviorSim | behaviorSim/PECSagent/state/CSEL/OLD/model_firstOrder.py | model_firstOrder.py | py | 4,656 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "logging.basicConfig",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "agent_defaultPersonality.agent",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "s... |
15287706589 | ##encoding=UTF8
"""
This module provides high performance iterator recipes.
best time and memory complexity implementation applied.
compatible: python2 and python3
import:
from .iterable import (take, flatten, flatten_all, nth, shuffled, grouper, grouper_dict, grouper_list,
running_windows, cycle_running... | MacHu-GWU/Angora | angora/DATA/iterable.py | iterable.py | py | 12,109 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sys.version_info",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "itertools.islice",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "itertools.chain.from_iterable",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "... |
495235347 | import glob
import os
import sqlite3
from collections import defaultdict
from contextlib import contextmanager
import six
import sqlalchemy as db
from sqlalchemy.pool import NullPool
from watchdog.events import PatternMatchingEventHandler
from watchdog.observers import Observer
from dagster import check
from dagster.... | helloworld/continuous-dagster | deploy/dagster_modules/dagster/dagster/core/storage/event_log/sqlite/sqlite_event_log.py | sqlite_event_log.py | py | 5,713 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "sql_event_log.SqlEventLogStorage",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "dagster.core.serdes.ConfigurableClass",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "os.path.abspath",
"line_number": 34,
"usage_type": "call"
},
{... |
72522500264 | import logging
from .models import ChangeLogTracker
logger = logging.getLogger(__name__)
class ChangeLoggerMiddleware(object):
def process_request(self, request):
try:
ChangeLogTracker.thread.request = request
except Exception as e:
logger.error(e)
| kdmukai/changelogger | changelogger/middleware.py | middleware.py | py | 299 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "models.ChangeLogTracker.thread",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "models.ChangeLogTracker",
"line_number": 12,
"usage_type": "name"
}
] |
41246308973 | #!/usr/bin/env python3
from http.server import SimpleHTTPRequestHandler
from socketserver import TCPServer
class CORSPermissiveHTTPRequestHandler(SimpleHTTPRequestHandler):
def end_headers(self):
self.send_header('Access-Control-Allow-Origin', '*')
super().end_headers()
if __name__ == "__main__... | habitatofmatt/keyboard-reducer | tools/pyodide-serve.py | pyodide-serve.py | py | 465 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "http.server.SimpleHTTPRequestHandler",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "socketserver.TCPServer",
"line_number": 14,
"usage_type": "call"
}
] |
37708151811 | from numpy.core.numeric import normalize_axis_tuple
import pandas as pd
import numpy as np
import xarray as xr
from pandarallel import pandarallel
import time
import credentials
import tc_functions as fun
import plotting_functions as tcplt
storm_data = pd.read_csv('data/filtered_storm_list_keep-leading-5.csv')
storm_... | galenvincent/tc-wind-shear | integrated_circulation.py | integrated_circulation.py | py | 2,941 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "pandas.read_csv",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pandas.to_datetime",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "tc_functions.gfs_access",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "credential... |
12028607497 | # -*- coding: utf-8 -*-
from django.db import connections
from django.db.models.aggregates import Count
from django.utils.unittest import TestCase
from django_orm.postgresql.hstore.functions import HstoreKeys, HstoreSlice, HstorePeek
from django_orm.postgresql.hstore.expressions import HstoreExpression
from .models ... | cr8ivecodesmith/django-orm-extensions-save22 | tests/modeltests/pg_hstore/tests.py | tests.py | py | 12,065 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.utils.unittest.TestCase",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "models.DataBag.objects.all",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "models.DataBag.objects",
"line_number": 14,
"usage_type": "attribute"
},
{
... |
10770360159 | #! /usr/bin/python3
import sys
import logging
import cliff.app
import cliff.commandmanager
from commands.workflows import Workflows
from commands.sysconfig import SysConfig
from commands.daemons import Coordinator
from commands.daemons import Provisioner
from commands.generator import Generator
from commands.reports i... | ICGC-TCGA-PanCancer/cli | scripts/pancancer.py | pancancer.py | py | 1,578 | python | en | code | 8 | github-code | 36 | [
{
"api_name": "cliff.app.app",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "cliff.app",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "logging.getLogger",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "cliff.app.commandmanag... |
74779834984 | from unittest import TestCase
from random import randint
from Common.common import rand_permutate
from collections import namedtuple
from .selection_in_linear_time import select, rand_select
from .problem_9_3 import select_variant
class TestSelection(TestCase):
def test_selection(self):
case_class = named... | GarfieldJiang/CLRS | P2_Sorting/OrderStatistics/test_selection.py | test_selection.py | py | 1,825 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "unittest.TestCase",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "collections.namedtuple",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "selection_in_linear_time.rand_select",
"line_number": 12,
"usage_type": "name"
},
{
"api_... |
7704126003 | # -*- encoding: utf-8 -*-
import networkx as nx
from tools import const
# 如果没有label_type，标注为“default”
def load_data(graph_name: str, label_type: str) -> (nx.Graph, dict):
if const.System == "Windows":
edge_path = const.WindowsRootPath + "\data\graph\{}.edgelist".format(graph_name)
if label_type ==... | Sngunfei/HSD | tools/dataloader.py | dataloader.py | py | 2,898 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "tools.const.System",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "tools.const",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "tools.const.WindowsRootPath",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "too... |
40281118137 | import os
import time
import math
import numpy as np
import torch
import copy
from skimage import img_as_float32
import im_utils
from unet3d import UNet3D
from file_utils import ls
from torch.nn.functional import softmax
import torch.nn.functional as F
cached_model = None
cached_model_path = None
use_fake_cnn = False
... | YZST/RootPainter3D | trainer/model_utils.py | model_utils.py | py | 8,983 | python | en | code | null | github-code | 36 | [
{
"api_name": "numpy.mean",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.int8",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "file_utils.ls",
"line_numb... |
25867245413 | #test
import os
import yaml
from ..grid import Grid
import numpy as np
def load_test_data(yml_file_path):
"""Given a file path of the yaml file, return the data in the file."""
with open(yml_file_path, 'r') as f:
s = f.read()
test_data = yaml.load(s)
return test_data
def test_vertices():
... | uceclz0/mesh_generation | mesh_generation/test/grid_test.py | grid_test.py | py | 1,354 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "yaml.load",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_numbe... |
25404280105 | # -*- coding: utf-8 -*-
import torch
from model import Model
from utils import load_img,mkdir
import os
import argparse
import cv2
import time
from glob import glob
def parse_args():
parser = argparse.ArgumentParser()
parser.add_argument('--data', default=r'/data/Disk_B/MSCOCO2014/train2014', type=str, help='... | thfylsty/ImageFusion_DeepDecFusion | fuseimg.py | fuseimg.py | py | 3,582 | python | en | code | 5 | github-code | 36 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "utils.load_img",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "torch.no_grad",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "model.setdata",
... |
19524023566 | from django.contrib import messages
from django.shortcuts import render,redirect
from students.models import student_homework,StudentFee,Attendance
from Accounts.models import UserAuthentication,Teacher
from datetime import datetime as dt
from pytz import timezone
# Create your views here.
def parent_home(request):
... | Asif-Ali1234/tution_management | parents/views.py | views.py | py | 2,388 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "Accounts.models.Teacher.objects.all",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "Accounts.models.Teacher.objects",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "Accounts.models.Teacher",
"line_number": 11,
"usage_type": "name... |
25022706363 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import os, argparse, json
from common.utils import use_progressbar, count_file
from smali_opcode import HCG_FILE_NAME
def merge_hash_dict(d1, d2):
'''merge d1 into d2'''
# 1. iterate through all keys of d1
# 2. check if the key is also in d2
# 2.1 yes, pl... | chushu10/StructuralClassification | count_hash.py | count_hash.py | py | 3,759 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "json.load",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "common.utils.count_file",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "smali_opcode.HCG_FILE_NAME",
"line_number": 49,
"usage_type": "argument"
},
{
"api_name": "comm... |
17498679617 | import logging
import numpy as np
import sys
import warnings
import affine6p
import geopandas
from typing import List, Optional
from shapely.geometry import Polygon
import geoCosiCorr3D.georoutines.geo_utils as geoRT
import geoCosiCorr3D.geoErrorsWarning.geoErrors as geoErrors
from geoCosiCorr3D.geoCore.core_RFM impor... | SaifAati/Geospatial-COSICorr3D | geoCosiCorr3D/geoRFM/RFM.py | RFM.py | py | 15,569 | python | en | code | 37 | github-code | 36 | [
{
"api_name": "geoCosiCorr3D.geoCore.core_RFM.RawRFM",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "logging.info",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "logging.info",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "loggi... |
650884033 | # -*- coding: utf-8 -*-
# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: https://doc.scrapy.org/en/latest/topics/item-pipeline.html
from pymongo import MongoClient
class YymanhuaPipeline(object):
def process_item(self, item, spider):
# 插入数据库
... | jihongzhu/python- | yymanhua/yymanhua/pipelines.py | pipelines.py | py | 737 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 19,
"usage_type": "call"
}
] |
74506416103 | from django.urls import include, path, re_path
from django.urls import reverse
from rest_framework.routers import DefaultRouter
from .views import SubscriptionViewSet, UserSubscriptionView, SubscriptionCreateView, SubscriptionCancelView, SubscriptionUpdateView, SubscriptionReactiveView
app_name = 'subscription'
rout... | jubelltols/React_DRF_MySql | DRF/src/onbici/subscription/urls.py | urls.py | py | 814 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "rest_framework.routers.DefaultRouter",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "views.SubscriptionViewSet",
"line_number": 10,
"usage_type": "argument"
},
{
"api_name": "django.urls.path",
"line_number": 13,
"usage_type": "call"
},
{
... |
8524473683 | # coding=gbk
import numpy as np
import pandas as pd
import re
from jieba import lcut
def clean_str(text):
text = text.lower()
# Clean the text
text = re.sub(r"[^A-Za-z0-9^,!.\/'+-=]", " ", text)
text = re.sub(r"what's", "what is ", text)
text = re.sub(r"that's", "that is ", text)
text = re.sub... | mrgulugulu/text_regression | data_helpers.py | data_helpers.py | py | 7,290 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "re.sub",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 14,
"usage_type"... |
12486698422 | import contextlib
import os
import subprocess
import tempfile
from pathlib import Path
from pprint import pprint
from shutil import copyfile
from time import monotonic, sleep
from typing import Dict
from unittest import mock
import requests
from docker_tests.command_utils import run_command
from docker_tests.constant... | drivendataorg/snowcast-showdown | 4th Place/images/base/docker_tests/test_docker_compose_quick_start.py | test_docker_compose_quick_start.py | py | 5,681 | python | en | code | 12 | github-code | 36 | [
{
"api_name": "os.environ.get",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "os.environ.get",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_... |
18657364741 | #!/usr/bin/env python
import matplotlib.pyplot as plt
import csv
x = []
y = []
with open('orderByDay.csv','r') as csvfile:
plots = csv.reader(csvfile, delimiter=',')
for row in plots:
x.append(row[0])
y.append(int(row[1]))
plt.plot(x,y)
plt.xlabel('Weekdays')
plt.ylabel('Number of orders')
pl... | gjtqiyue/Comp421-Database-Project | Deliverable_3/PlotCsv.py | PlotCsv.py | py | 360 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "csv.reader",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.... |
1955434501 | import logging
import sqlite3.dbapi2 as sqlite3
import os
from ..config import CREATE_QUERY, TEST_QUERY
def load_database(path):
DB_INSTANCE = sqlite3.connect(path)
cursor = DB_INSTANCE.cursor()
try:
cursor.execute(TEST_QUERY)
except sqlite3.OperationalError as e:
logging.error(f"Somet... | nocturn9x/AmazonOffers-Manager | AmazonBot/database/dbcreator.py | dbcreator.py | py | 1,215 | python | en | code | 10 | github-code | 36 | [
{
"api_name": "sqlite3.dbapi2.connect",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sqlite3.dbapi2",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "config.TEST_QUERY",
"line_number": 11,
"usage_type": "argument"
},
{
"api_name": "sqlite3.dba... |
25775618531 | import pydriller
from pydriller.metrics.process.code_churn import CodeChurn
from pydriller.metrics.process.contributors_count import ContributorsCount
hash1 = "f858260790250880fc74ab7108073435f534d7f1"
hash2 = "319f616e572a03b984013d04d1b3a18ffd5b1190"
repo_path = "~/workfolder/dayjs"
churn_metric = CodeChurn(path_to... | vrjuliao/BCC | engenharia-de-software-2/ex-8-1/3.py | 3.py | py | 1,059 | python | pt | code | 0 | github-code | 36 | [
{
"api_name": "pydriller.metrics.process.code_churn.CodeChurn",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pydriller.metrics.process.contributors_count.ContributorsCount",
"line_number": 19,
"usage_type": "call"
}
] |
72192933225 | import redis, json, uuid, time, calendar, csv, io, os, yaml, xmltodict
from bottle import response
from dicttoxml import dicttoxml
from datetime import datetime
allowed_types = {
"application/json",
"application/xml",
"application/x-yaml",
# "text/tab-separated-values",
}
# expire after five minutes
... | Zamanien/SI_mandatory | esb_transform.py | esb_transform.py | py | 3,154 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.environ.get",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "os.environ.get",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_... |
18775996369 | from django.urls import path
from . import views
urlpatterns = [
path('', views.home, name='home'),
path('forms', views.form, name='form'),
path('remove/<todo_id>', views.delete_todo, name='remove'),
path('add_todo', views.add_todo, name='new_todo'),
path('update_todo/<todo_id>', views.edit_todo, n... | Torgbui-Hiram/django_crm | website/urls.py | urls.py | py | 580 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.urls.path",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
33364078946 | from flask import Flask, request, jsonify, url_for, session, redirect, render_template
from flaskext.mysql import MySQL
from flask_oauth import OAuth
import logging
import time
from logging.handlers import RotatingFileHandler
# from urllib.requests import urlparse
app = Flask(__name__)
app.secret_key = 'secretkey'
# k... | Iann221/UASTST | api.py | api.py | py | 5,898 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flask.Flask",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flaskext.mysql.MySQL",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "flask_oauth.OAuth",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "flask.render_templa... |
23618738970 | def test(path):
from glob import glob
from os.path import join
from shutil import rmtree
from tempfile import mkdtemp
from numpy import all, abs
from quantities import kbar, eV, angstrom
from pylada.crystal import Structure
from pylada.vasp import Vasp
from pylada.vasp.relax import Relax
from pylada... | mdavezac/LaDa | vasp/tests/runrelax.py | runrelax.py | py | 1,932 | python | en | code | 5 | github-code | 36 | [
{
"api_name": "pylada.crystal.Structure",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pylada.vasp.Vasp",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "tempfile.mkdtemp",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "pylada.vas... |
22703498747 | import spacy
import numpy
import os
from numpy import dot
from numpy.linalg import norm
nlp = spacy.load('en_core_web_lg')
def compare_wordlists_by_spacy_vectors(model, wordlist1, wordlist2):
vectorlist1 = model(wordlist1)
vectorlist2 = model(wordlist2) #unicode string
myData = [ ]
for wordve... | kariemoorman/iat-weat-wefat | scripts/comparison_functions/spacy_word_comparison_functions.py | spacy_word_comparison_functions.py | py | 2,179 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "spacy.load",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.dot",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "numpy.linalg.norm",
"line_number": 57,
"usage_type": "call"
}
] |
12262454581 | import sys
import contentful_management
from env import *
client = contentful_management.Client(MANAGEMENT_API_TOKEN)
space = client.spaces().find(SPACE_ID)
environment = space.environments().find('master')
content_types = environment.content_types().all()
content_type = content_types[0]
if '--test' in sys.argv:
... | wildlava/skydiving-formations-react | tools/ingest_formations.py | ingest_formations.py | py | 3,444 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "contentful_management.Client",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"li... |
10755048516 | #date:21-9-17
import pafy
url="https://www.youtube.com/watch?v=mkKXS0FI_L4"
video=pafy.new(url)
audiostreams = video.audiostreams
for a in audiostreams:
print(a.bitrate, a.extension, a.get_filesize())
########to download audio directly
#audiostreams[1].download()
bestaudio = video.getbestaudio()
bestaudio.bi... | pemagrg1/YoutubeDownloader | download_audio.py | download_audio.py | py | 513 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "pafy.new",
"line_number": 4,
"usage_type": "call"
}
] |
37204976551 | #!/usr/bin/python3
from __future__ import print_function
import os
import sys
import torch
import torch.backends.cudnn as cudnn
import argparse
import cv2
import numpy as np
from collections import OrderedDict
sys.path.append(os.getcwd() + '/../../src')
from config import cfg
from prior_box import PriorBox
from dete... | tienhoangvan/libfacemaskdet | train/tasks/task1/demo.py | demo.py | py | 5,078 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sys.path.append",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "os.getcwd",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
... |
16076363640 | import argparse
import os
import statistics
from typing import Callable
import dotenv
from tqdm import tqdm
from headhunter import get_vacancies_from_hh, fetch_areas_ids, predict_rub_salary_hh
from salary_helpers import create_table
from superjob import get_vacancies_from_sj, predict_rub_salary_sj, fetch_town_ids
PR... | shadowsking/salary-statistics | main.py | main.py | py | 2,481 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "typing.Callable",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "statistics.mean",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "dotenv.load_d... |
27895854947 | from django.db import models
from django.conf import settings
from channels.layers import get_channel_layer
from asgiref.sync import async_to_sync
import uuid
channel_layer = get_channel_layer()
class MessageManager(models.Manager):
def get_pending_messages(self, user):
pending_messages_qs = user.pendi... | stgoddv/whatsapp-clone-django-vuejs | djchat/chat/models.py | models.py | py | 3,772 | python | en | code | 10 | github-code | 36 | [
{
"api_name": "channels.layers.get_channel_layer",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.db.models.Manager",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 12,
"usage_type": "name"
},
{
"a... |
8444672238 | import functools
import warnings
import numpy
import cupy
import cupyx.scipy.fft
def _wraps_polyroutine(func):
def _get_coeffs(x):
if isinstance(x, cupy.poly1d):
return x._coeffs
if cupy.isscalar(x):
return cupy.atleast_1d(x)
if isinstance(x, cupy.ndarray):
... | cupy/cupy | cupy/lib/_routines_poly.py | _routines_poly.py | py | 12,381 | python | en | code | 7,341 | github-code | 36 | [
{
"api_name": "cupy.poly1d",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "cupy.isscalar",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "cupy.atleast_1d",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "cupy.ndarray",
"li... |
22215949702 | import pytest
from hamcrest import assert_that, equal_to
from gairl.memory.prioritized_replay_buffer import _SumTree
def test_init_valid():
# When
tree = _SumTree(8)
# Then
assert_that(tree.total_priority, equal_to(0))
assert_that(tree.priorities_range, equal_to((1, 1)))
assert_that(tree._da... | K-Kielak/gairl | tests/memory/test_sum_tree.py | test_sum_tree.py | py | 6,504 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "gairl.memory.prioritized_replay_buffer._SumTree",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "hamcrest.assert_that",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "hamcrest.equal_to",
"line_number": 12,
"usage_type": "call"
},
{
... |
41019665619 | import os
from pathlib import Path
import structlog
# Build paths inside the project like this: BASE_DIR / 'subdir'.
BASE_DIR = Path(__file__).resolve(strict=True).parent.parent.parent
INSTALLED_APPS = [
"django.contrib.admin",
"django.contrib.auth",
"django.contrib.contenttypes",
"django.contrib.ses... | sipwise/repoapi | repoapi/settings/common.py | common.py | py | 4,245 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "pathlib.Path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "structlog.stdlib",
"line_number": 130,
"usage_type": "attribute"
},
{
"api_name": "structlog.dev.ConsoleRenderer",
"line_number": 131,
"usage_type": "call"
},
{
"api_name": "str... |
31014089660 |
# Imports
import PySimpleGUI as sg
import openai
import os
from openai.error import APIConnectionError, AuthenticationError
import threading
from datetime import datetime
from peewee import SqliteDatabase, Model, CharField, TextField
# Envs
from dotenv import load_dotenv, find_dotenv
_ = load_dotenv(find_dotenv())
... | montexbjeliseo/gui_for_chatgpt | gui_chat_gpt_api_python.pyw | gui_chat_gpt_api_python.pyw | pyw | 11,379 | python | es | code | 0 | github-code | 36 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "dotenv.find_dotenv",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "openai.api_key",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "os.getenv",... |
17895408730 | import tensorflow as tf
import utils # local file import from baselines.toxic_comments
class UtilsTest(tf.test.TestCase):
def test_make_cv_train_and_eval_splits(self):
num_folds = 10
train_fold_ids = ['2', '5']
(train_split, eval_split, train_folds, eval_folds,
eval_fold_ids) = utils.make_cv_tra... | google/uncertainty-baselines | baselines/toxic_comments/utils_test.py | utils_test.py | py | 1,078 | python | en | code | 1,305 | github-code | 36 | [
{
"api_name": "tensorflow.test",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "utils.make_cv_train_and_eval_splits",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "tensorflow.test.main",
"line_number": 30,
"usage_type": "call"
},
{
"api_... |
15680118405 | import json
import logging
from .codebase import CodebaseAgent
from .gpt_agent import GPTAgent, Role
class ProgrammerAgent:
def __init__(self, codebase_repo_path, gpt_api_key):
self.codebase_agent = CodebaseAgent(codebase_repo_path)
self.gpt_agent = GPTAgent(api_key=gpt_api_key, role=Role.PROGRAMME... | csmathguy/SAGA | src/agent/programmer.py | programmer.py | py | 1,812 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "codebase.CodebaseAgent",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "gpt_agent.GPTAgent",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "gpt_agent.Role.PROGRAMMER",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": ... |
30076689122 | # general imports
from pathlib import Path
import os
import re
import argparse
from time import time
import multiprocessing as mp
from functools import partial
from collections import Counter
# processing imports
import numpy as np
import pandas as pd
from tqdm import tqdm
from collections import OrderedDict
from diff... | dataforgoodfr/batch7_rse | polls/rse_model/rse_watch/pdf_parser.py | pdf_parser.py | py | 21,499 | python | en | code | 5 | github-code | 36 | [
{
"api_name": "os.walk",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 56,
... |
7749159191 | from flask import Blueprint, request
from flask import jsonify, render_template
from authlib.specs.rfc6749 import OAuth2Error
from authlib.flask.oauth2 import current_token
from ..models import OAuth2Client, OAuth2Token, User
from ..auth import current_user
from ..forms.auth import ConfirmForm, LoginConfirmForm
from ..... | itsocietysu/EACH-OAuth2.0 | website/routes/oauth2.py | oauth2.py | py | 4,226 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flask.Blueprint",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "flask_cors.CORS",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "flask.request.query_string",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "flask... |
6243299984 | import requests
import pprint
import matplotlib.pyplot as plt
from tabulate import tabulate
import numpy as np
print('')
print('- GLOBAL INFO -')
print('')
# CONNECT WITH THE API
url = 'https://api.coingecko.com/api/v3/coins/categories'
r = requests.get(url)
response = r.json()
# pprint.pprint(response)
# exit()
... | jbbaptista/Personally | Sectores_coingecko/Add_daily_info_database.py | Add_daily_info_database.py | py | 9,661 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "requests.get",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.average",
"line_number": 108,
"usage_type": "call"
},
{
"api_name": "numpy.average",
"line_nu... |
17585378222 | import numpy as np
import matplotlib.pyplot as plt
from starwhale import dataset
def show_image(image) -> None:
plt.imshow(image, cmap="gray")
plt.show(block=True)
ds_name = "fer2013/version/latest"
ds = dataset(ds_name)
row = ds.fetch_one()
data = row.features
show_image(
np.frombuffer(data["image"].t... | star-whale/starwhale | example/datasets/fer2013/example.py | example.py | py | 399 | python | en | code | 171 | github-code | 36 | [
{
"api_name": "matplotlib.pyplot.imshow",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.show",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "matplo... |
21315566191 | # D = len(data) ## number of docs...data is list of documents
# print('D: ', D)
import torch
import pickle
beta = torch.load('betas-40.pt', map_location=torch.device('cpu'))
beta = beta.numpy()
with open('vocab_50K.pkl', 'rb') as f:
vocab = pickle.load(f)
TC = []
num_topics = len(beta)
for k in range(num_topic... | gretatuckute/neuralNLP | ETM_evaluation/testBetaOrder.py | testBetaOrder.py | py | 488 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "torch.load",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "torch.device",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 11,
"usage_type": "call"
}
] |
34683343714 | #!/home/kelsi/.virtualenvs/mtg/bin/python
# -*- coding: utf-8 -*-
from bottle import route, run, template, view
from datetime import date
import sqlite3
con = sqlite3.connect('mtg.db')
con.row_factory = sqlite3.Row
cursor = con.cursor()
@route('/hello/<name>')
@view('sample')
def hello(name):
return dict(name=n... | kelind/bio-mtg | mtg_bottle.py | mtg_bottle.py | py | 2,408 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sqlite3.connect",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sqlite3.Row",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "bottle.route",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "bottle.view",
"line_... |
1133144480 | import pyfiglet
import platform
import os
import sys
import socket
import threading
from time import sleep
from queue import Queue
def banner():
banner = pyfiglet.figlet_format('PORT SCANNER')
print('\033[93m'+banner+'\033[m')
ports = Queue()
first_port = 1
last_port = 65535
for i in range(first_port, las... | ArthurDeveloper/portscanner-python | portscanner.py | portscanner.py | py | 2,780 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "pyfiglet.figlet_format",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "queue.Queue",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "platform.system",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.system",
"l... |
21017557226 | """
The goal of this program is to optimize the movement to achieve a rudi out pike (803<) for left twisters.
"""
import os
import numpy as np
import biorbd_casadi as biorbd
from casadi import MX, Function
from bioptim import (
OptimalControlProgram,
DynamicsList,
DynamicsFcn,
... | EveCharbie/AnthropoImpactOnTech | Tech_opt_MultiStart.py | Tech_opt_MultiStart.py | py | 34,211 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "bioptim.PenaltyController",
"line_number": 90,
"usage_type": "name"
},
{
"api_name": "bioptim.OdeSolver",
"line_number": 99,
"usage_type": "name"
},
{
"api_name": "bioptim.OdeSolver.RK4",
"line_number": 99,
"usage_type": "call"
},
{
"api_name": "bio... |
10528069074 | from PIL import Image
from torchvision import transforms
from JointCompose import JointCompose, IMG_ONLY_TRANSFORM, MASK_ONLY_TRANSFORM, RANDOM_JOINT_TRANSFORM_WITH_BORDERS, BORDER_ONLY_TRANSFORM, JOINT_TRANSFORM_WITH_BORDERS
import numpy as np
from scipy.ndimage.interpolation import map_coordinates
from scipy.ndimage.... | yolish/kaggle-dsb18 | dsbaugment.py | dsbaugment.py | py | 16,818 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "PIL.Image.FLIP_LEFT_RIGHT",
"line_number": 46,
"usage_type": "attribute"
},
{
"api_name": "PIL.Image",
"line_number": 46,
"usage_type": "name"
},
{
"api_name": "PIL.Image.FLIP_TOP_BOTTOM",
"line_number": 48,
"usage_type": "attribute"
},
{
"api_name"... |
74457209702 | """Futurepedia"""
import json
import re
import time
import random
import scrapy
import os
from urllib.parse import urljoin
from zimeiti.items import ZimeitiItem
from zimeiti.public import refactoring_img, down_img, contenc_description, get_words, timetimes, execute, is_exists, \
refactoring_img1
import math
class... | AYongmengnan/zimeiti | zimeiti/spiders/futurepedia.py | futurepedia.py | py | 3,916 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "scrapy.Spider",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "scrapy.Request",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "math.ceil",
"line_nu... |
14199367630 | import cv2
import pickle as pkl
import time
import xgboost as xgb
import math
import numpy as np
import mediapipe as mp
from speak import speakText
mp_drawing = mp.solutions.drawing_utils
mp_hands = mp.solutions.hands
width = 640
height = 480
hands = mp_hands.Hands(min_detection_confidence=0.6, min_tracking_confiden... | bahrain-uob/PoseMate | run_v2.py | run_v2.py | py | 19,687 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "mediapipe.solutions",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "mediapipe.solutions",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "pickle.load",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pickle.... |
43751185703 | from __future__ import unicode_literals
import os
import tempfile
import unittest
from textwrap import dedent
import mock
import six
import rows
import rows.plugins.postgresql
import rows.plugins.utils
import tests.utils as utils
from rows import fields
from rows.plugins.postgresql import pgconnect
from rows.utils i... | turicas/rows | tests/tests_plugin_postgresql.py | tests_plugin_postgresql.py | py | 9,172 | python | en | code | 851 | github-code | 36 | [
{
"api_name": "tests.utils.RowsTestMixIn",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "tests.utils",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "unittest.TestCase",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "row... |
30085141101 | from typing import TypedDict
from gdbdash.commands import BoolOption, StrOption
from gdbdash.modules import Module
from gdbdash.utils import FileDescriptorOrPath
DashboardOptions = TypedDict(
"DashboardOptions",
{
"text-highlight": StrOption,
"text-secondary": StrOption,
"text-divider"... | JensDll/dotfiles | unix/.config/gdbdash/gdbdash/dashboard.pyi | dashboard.pyi | pyi | 586 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "typing.TypedDict",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "gdbdash.commands.StrOption",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "gdbdash.commands.StrOption",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": ... |
7939019332 | from itertools import combinations
def answer(l):
l.sort(reverse=True)
for i in range(len(l), 0, -1):
for c in itertools.combinations(l, i):
if sum(c) % 3 == 0:
return int(''.join(map(str, c)))
return 0
| deepspacepirate/googlefoobar | L2-please_pass_the_coded_messages.py | L2-please_pass_the_coded_messages.py | py | 235 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "itertools.combinations",
"line_number": 7,
"usage_type": "call"
}
] |
20157445865 | from collections import defaultdict
from itertools import permutations
class DinnerTable:
def __init__(self, instructions) -> None:
self.ins = instructions
self.happiness_scores = {}
self.guest_list = []
def process_happiness_scores(self):
lines = [line for line in self.ins.sp... | davidcolton/adventofcode | 2015/day_13/dinner.py | dinner.py | py | 2,243 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "itertools.permutations",
"line_number": 37,
"usage_type": "call"
}
] |
37350691317 | from ase import Atom, Atoms
from ase.units import Bohr
from gpaw import GPAW
from gpaw.test import equal
def test_xc_nonselfconsistentLDA(in_tmp_dir):
a = 7.5 * Bohr
n = 16
atoms = Atoms([Atom('He', (0.0, 0.0, 0.0))], cell=(a, a, a), pbc=True)
calc = GPAW(gpts=(n, n, n), nbands=1, xc='LDA')
atoms.... | f-fathurrahman/ffr-learns-gpaw | my_gpaw/test/xc/test_nonselfconsistentLDA.py | test_nonselfconsistentLDA.py | py | 1,193 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "ase.units.Bohr",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "ase.Atoms",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "ase.Atom",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "gpaw.GPAW",
"line_number": 11,
... |
31826768248 | # make some tests
import os, glob
from pprint import pprint
from importlib import reload
import designspaceProblems
reload(designspaceProblems)
import designspaceProblems.problems
reload(designspaceProblems.problems)
from designspaceProblems.problems import DesignSpaceProblem, allProblems
from designspaceProblems ... | LettError/DesignspaceProblems | tests/makeTests.py | makeTests.py | py | 19,721 | python | en | code | 18 | github-code | 36 | [
{
"api_name": "importlib.reload",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "importlib.reload",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "designspaceProblems.problems",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "fo... |
35018450468 | from os import path
import sys
import metavision_designer_engine as mvd_engine
from metavision_designer_engine import Controller
import metavision_designer_cv as mvd_cv
import metavision_designer_core as mvd_core
import metavision_hal as mv_hal
import cv2
from Python.Event_Processor.EventProcessor import EventProcessor... | GuillaumeCariou/I3S_Tutorship_Internship | Python/Log_Luminance/Main.py | Main.py | py | 7,685 | python | fr | code | 0 | github-code | 36 | [
{
"api_name": "metavision_designer_engine.Controller",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "metavision_hal.DeviceDiscovery.open",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "metavision_hal.DeviceDiscovery",
"line_number": 22,
"usage_type... |
6103056667 | import os
import argparse
import utils
import json
import numpy as np
from sklearn import metrics
from tqdm import tqdm
import torch
from torch.utils.data import DataLoader
import torchvision.transforms as T
from models.dgcnn import DGCNN
from models.pointnet import PointNet, feature_transform_regularizer
import tran... | leoriczhang/3d-pointcloud- | test_cls.py | test_cls.py | py | 6,038 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.path.dirname",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number"... |
9204282514 | import sys
import os
import time
import traceback
import numpy as np
import torch
import torchvision
import torch.nn as nn
import torch.nn.init as init
import torch.optim as optim
import torch.nn.functional as F
import torchvision.transforms as transforms
from torch.autograd import Variable
from tqdm import tqdm
#con... | sarah-antillia/SOL4Py_V4 | SOL4Py/torch/ZTorchSimpleModel.py | ZTorchSimpleModel.py | py | 2,551 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sys.path.append",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "SOL4Py.torch.ZTorchModel.ZTorchModel",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "to... |
23315419953 | #!/usr/bin/env python
from setuptools import setup, find_packages
tests_require = [
'nose',
'unittest2',
]
setup(
name='quickunit',
version='0.6.0',
author='David Cramer',
author_email='dcramer@gmail.com',
description='A discovery plugin for Nose which relies on sane structure.',
url=... | dcramer/quickunit | setup.py | setup.py | py | 1,025 | python | en | code | 34 | github-code | 36 | [
{
"api_name": "setuptools.setup",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 17,
"usage_type": "call"
}
] |
24179539315 | """Helper functions for iterables."""
import collections
from itertools import islice, zip_longest
from typing import Callable, Iterable, Iterator, Optional, TypeVar
T = TypeVar("T")
# Courtesy of https://docs.python.org/3/library/itertools.html
def grouper(
iterable: Iterable[T],
n: int,
*,
incompl... | NickG123/AdventOfCode2022 | utils/iterables.py | iterables.py | py | 1,958 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "typing.TypeVar",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "typing.Iterable",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "itertools.zip_longest",... |
72775441703 | # -*- coding: utf-8 -*-
"""
Created on Sat May 9 07:43:03 2020
@author: Das
"""
# Importing Essential Libraries
import nltk
import random
from nltk.classify.scikitlearn import SklearnClassifier
from sklearn.naive_bayes import MultinomialNB, BernoulliNB
from sklearn.tree import DecisionTreeClassifier
from ... | DasBhai/MNCRankingRealtime | mod_sentiment.py | mod_sentiment.py | py | 2,815 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "nltk.tokenize.word_tokenize",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "nltk.pos_tag",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "nltk.tokenize.word_tokenize",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "... |
8746369027 | import requests
import numpy as np
from phe import paillier
import math
api_address = "http://localhost:8000"
N_FEATURES = 10
PRECISION = 2**(-16)
EXP = -8
TEST_DATA = [0.48555949, 0.29289251, 0.63463107, 0.41933057, 0.78672205, 0.58910837, 0.00739207, 0.31390802, 0.37037496, 0.3375726]
TEST_PRED = 0.4481214474665382... | arinaruck/isp_2022 | hw8/steal_model.py | steal_model.py | py | 1,831 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.random.uniform",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "numpy.ones",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"... |
10902517011 | from django.test import TestCase
from home.models import UserProfile
class UserProfileModelTestCase(TestCase):
@classmethod
def setUpTestData(cls):
# Create test data before running the tests
UserProfile.objects.create(
name='John Doe',
email='johndoe@example.com',
... | shubhamkhuntia/superU-Assignment | home/tests.py | tests.py | py | 1,010 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.test.TestCase",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "home.models.UserProfile.objects.create",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "home.models.UserProfile.objects",
"line_number": 9,
"usage_type": "attribute"
... |
9324455473 | import os
from dotenv import load_dotenv
import discord
from discord import app_commands
from langchain.llms import OpenAI
# Load the .env file
load_dotenv()
token = os.getenv('DISCORD_TOKEN')
guild_id = os.getenv('DISCORD_GUILD')
openai_key = os.getenv('OPENAI_KEY')
class Client(discord.Client):
def __init__(sel... | conradomanclossi/Trends | bot/main.py | main.py | py | 1,334 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 1... |
74955138663 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import re
import requests
SNIPPET_TEMPLATE = """<snippet>
<content><![CDATA[
{}
]]></content>
<description>{}</description>
<scope>source.python</scope>
<tabTrigger>{}</tabTrigger>
</snippet>"""
def _request_code(target_url):
"""Request a code file... | fhightower/sublime-snippet-creator | sublime_snippet_creator/sublime_snippet_creator.py | sublime_snippet_creator.py | py | 3,465 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "requests.get",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 32,
"usage_type": "call"
}
] |
31762824166 | from collections import deque
def bfs():
dx = [0,1,0,-1]
dy = [1,0,-1,0]
while loc:
x_y = loc.popleft()
y, x = x_y[0], x_y[1]
for i in range(4):
nX = x + dx[i]
nY = y + dy[i]
if nX < 0 or nX >= m or nY < 0 or nY >= n: continue
if ma... | 4RG0S/2020-Spring-Jookgorithm | 이승민/[20.03.30]2178.py | [20.03.30]2178.py | py | 626 | python | en | code | 4 | github-code | 36 | [
{
"api_name": "collections.deque",
"line_number": 26,
"usage_type": "call"
}
] |
73137302504 | """factRequestForDocuments
Revision ID: 489ca98de532
Revises: d6c3af32b13e
Create Date: 2022-01-26 22:39:14.403851
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '489ca98de532'
down_revision = 'd6c3af32b13e'
branch_labels = None
depends_on = None
def upgrade... | bcgov/foi-reporting | datawarehouse/edw_migrations/versions/489ca98de532_factrequestfordocuments.py | 489ca98de532_factrequestfordocuments.py | py | 1,937 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "alembic.op.create_table",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integ... |
18932220810 | import os
import time
import datetime
from pathlib import Path
from datetime import datetime
import psutil
import math
class Location(str):
def __call__(self, *args) -> 'Location':
return Location(self.format(*args))
def exists(self):
return Path(self).exists()
def read(self):
wit... | idlab-discover/wasm-operator | profile/wasmProfiler.py | wasmProfiler.py | py | 3,043 | python | en | code | 47 | github-code | 36 | [
{
"api_name": "pathlib.Path",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "math.floor",
"line_number": 77,
"usage_type": "call"
},
{
"api_name": "math.log",
"line_number": 77,
... |
74962738343 | from rest_framework.serializers import ModelSerializer
from rest_framework import exceptions
from api.models import VDO
from django_celery_results.models import TaskResult
class VDOSerializer(ModelSerializer):
def create(self, validated_data):
newvdo_record = self.Meta.model.objects.create(**validated_dat... | 6410615147/cartrack | cartrack/api/serializer.py | serializer.py | py | 688 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "api.models.VDO",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 16,
"usage_type": "n... |
23306322275 | import click
import csv
import itertools
from Bio import motifs
from Bio.Seq import Seq
from Bio.SeqUtils import GC
from Bio.Alphabet import generic_dna
from Bio.Alphabet.IUPAC import unambiguous_dna
def homer_parse(fstream):
def build(name, freq):
m = motifs.Motif(counts=freq)
m.name = name
... | ren-lab/snp-selex | pwm/score.py | score.py | py | 4,389 | python | en | code | 15 | github-code | 36 | [
{
"api_name": "Bio.motifs.Motif",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "Bio.motifs",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "click.echo",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "click.echo",
"line_number"... |
73434596264 | import pandas as pd
import json
import requests
# # ----------from fred---------------
# api_keys = ["36211f27396765eca92b93f01dca74db", "4808384bf945022005347fcf2f6957fb",
# "a66fc3e61d360c6088b022f2c06c831c", "1836f996f9157acd994d59547bb0f65c",
# "4e2f7a3a68190b6584419017414974d5", "bc4c30a69... | stergioa/masterThesis4 | src/download_data/download_timeseries_values.py | download_timeseries_values.py | py | 1,818 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "nasdaqdatalink.read_key",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "nasdaqdatalink.get",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "pandas.rea... |
23616237270 | debug_queue = "queue", "inter"
""" How to select the debug queue.
First part of the tuple is the keyword argument to modify when calling
the pbs job, and the second is its value.
"""
accounts = ["BES000"]
""" List of slurm or pbs accounts allowed for use.
This is used by ipython's %launch magic functio... | mdavezac/LaDa | config/redmesa_mpi.py | redmesa_mpi.py | py | 1,720 | python | en | code | 5 | github-code | 36 | [
{
"api_name": "getpass.getuser",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "subprocess.Popen",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "subprocess.PIPE",
"line_number": 47,
"usage_type": "name"
},
{
"api_name": "IPython.utils.text.S... |
33634152186 | from re import A
import time, random
from Yinsh.yinsh_model import YinshGameRule
from template import Agent
from copy import deepcopy
from collections import deque
import numpy as np
THINKTIME = 0.5
C_PARAM = 1.414
class Node():
def __init__(self, state, game_rule=None, agent_id=None, parent=None, parent_action=... | bzr1/automated-agent-for-a-board-game-yinsh- | agents/t_056/mcts.py | mcts.py | py | 7,015 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "copy.deepcopy",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "numpy.sqrt",
"line_number": 77,
"usage_type": "call"
},
{
"api_name": "numpy.log",
"line_number": 77,
"usage_type": "call"
},
{
"api_name": "numpy.argmax",
"line_number": ... |
71946585384 | from pyspark.sql import SparkSession
from pyspark.sql.functions import lit
spark = (SparkSession
.builder
.appName("files_creator")
.config("spark.sql.sources.partitionOverwriteMode", "dynamic")
.config("hive.exec.dynamic.partition", "true")
.config("hive.exec.dynamic.parti... | actweird/data_repository | Python/files_creator.py | files_creator.py | py | 574 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pyspark.sql.SparkSession.builder.appName",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.SparkSession.builder",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "pyspark.sql.SparkSession",
"line_number": 4,
"usage_type": "... |
71121334825 | from threading import Thread
import webbrowser, http.server, socketserver
import time;
port_number = 8000
server = None
def startServer(port):
Handler = http.server.SimpleHTTPRequestHandler
global server
server = socketserver.TCPServer(("", port), Handler)
print("Start server at port", port)
serv... | ldlchina/Sample-of-WebGL-with-STL-loader | LocalServer.py | LocalServer.py | py | 862 | python | en | code | 17 | github-code | 36 | [
{
"api_name": "http.server.server",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "http.server",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "socketserver.TCPServer",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "threading.Th... |
9783557706 | import requests
from bs4 import BeautifulSoup
# 製作一個串列裝所有可輸入的星座代號
# astros = ["牡羊座","金牛座","雙子座","巨蟹座","獅子座","處女座","天秤座","天蠍座","射手座","摩羯座","水瓶座","雙魚座"]
astrosDict = {"牡羊座":"0","金牛座":"1","雙子座":"2","巨蟹座":"3","獅子座":"4","處女座":"5","天秤座":"6","天蠍座":"7","射手座":"8","摩羯座":"9","水瓶座":"10","雙魚座":"11"}
# 組合字串，並印出所有可選星座
# text = ''
# ... | byunli/python | 參考_星座.py | 參考_星座.py | py | 1,621 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "requests.get",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 23,
"usage_type": "call"
}
] |
13245977761 | #!/usr/bin/env python
# coding: utf-8
# # Jenkins - Monitoring, Building and Running Regressions
#
# This tool was written to ease my daily job because I need to check the regression tests regularly which totally have around 7000 regression tests. It's really such a hassle to do it manually and frequently.
#
# This ... | wy8162/hggraph | jenkins_tools.py | jenkins_tools.py | py | 24,012 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "collections.abc.Mapping",
"line_number": 136,
"usage_type": "attribute"
},
{
"api_name": "collections.abc",
"line_number": 136,
"usage_type": "name"
},
{
"api_name": "collections.abc.MutableSequence",
"line_number": 138,
"usage_type": "attribute"
},
{
... |
42736810973 | # -*- coding: utf-8 -*-
"""
Created on Sun May 2 10:11:50 2021
@author: Simon
"""
# Imports
import matplotlib.pyplot
import csv
from bs4 import BeautifulSoup
import requests
import particlemove # Associated file used to move particles
import tkinter as tk
import time
# Model variables
num_of_iterations = 200 # Th... | simonhp66/bacterialbomb | bacterialbomb.py | bacterialbomb.py | py | 13,564 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "time.time",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "tkinter.ANCHOR",
"line_number": 46,
"usage_type": "attribute"
},
{
"api_name": "tkinter.Tk",
"line_number": 75,
"usage_type": "call"
},
{
"api_name": "tkinter.Menu",
"line_num... |
70233514344 | from flask import render_template,request,redirect,url_for
from .import main
from ..request import get_sources,get_articles,search_news
from ..models import Source
@main.route("/")
def index():
"""
View root function that returns the index page and its data
"""
popular_news = get_sources("popular")
... | alexmwaura/NewsApp | app/main/views.py | views.py | py | 1,389 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "request.get_sources",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "request.search_news",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "flask.request.args.get",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "flask.... |
40302056937 | import sys
import datetime
from project import app
from common_utilities import Constant
from project.users.models import Counter, Users
from flask_login import login_required, logout_user, current_user
from flask import Blueprint, render_template, session, make_response, jsonify, request, redirect, url_for
sys.path.a... | PatelFarhaan/ACCEPTME-PROD | project/users/views.py | views.py | py | 5,641 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sys.path.append",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "flask.Blueprint",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
... |
38516771350 | import boto.exception
from awscompat import config, util
from awscompat.connections import ec2_conn
from awscompat.tests.base import TestNode
class TestDescribeImages(TestNode):
"""Failing test for https://bugs.launchpad.net/nova/+bug/755829"""
def pre(self):
assert ec2_conn.get_all_images(
... | mwhooker/aws-compat | awscompat/tests/ec2.py | ec2.py | py | 3,744 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "awscompat.tests.base.TestNode",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "awscompat.connections.ec2_conn.get_all_images",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "awscompat.connections.ec2_conn",
"line_number": 10,
"usage_typ... |
29290582448 | #!/usr/bin/env python
import rospy
import tf
if __name__ == '__main__':
rospy.init_node('pose_saver')
listener = tf.TransformListener()
listener.waitForTransform('/map', '/base_footprint', rospy.Time(0), rospy.Duration(1.0))
rate = rospy.Rate(20.0)
with open('/media/hao/hao/dataset/ros_pose.txt... | QinHarry/CNN_SLAM | data/ros/src/mit_data/src/pose_saver.py | pose_saver.py | py | 788 | python | en | code | 6 | github-code | 36 | [
{
"api_name": "rospy.init_node",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "tf.TransformListener",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "rospy.Time",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "rospy.Duration",
"l... |
11903172959 | import time
from flask import request
from data_sheet import session, ShortMessage
from utils.tool import short_message
from ..user import bp
@bp.route('/mobile_text')
def test():
phone = request.json.get("phone")
if phone is None:
return {'code':201,'message':'请输入手机号码'}
try:
... | yyiridescent/exchange | api/user/mobile_text.py | mobile_text.py | py | 1,107 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flask.request.json.get",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask.request.json",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "utils.to... |
25325013946 | from rest_framework import status
from rest_framework.authentication import BasicAuthentication, SessionAuthentication
from rest_framework.generics import RetrieveAPIView, ListAPIView
from rest_framework.permissions import IsAuthenticatedOrReadOnly
from rest_framework.response import Response
from rest_framework_jwt.au... | mathemartins/vendescrow | rates/api/views.py | views.py | py | 2,400 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "rest_framework.generics.RetrieveAPIView",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "rest_framework.permissions.IsAuthenticatedOrReadOnly",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "rest_framework.authentication.BasicAuthentication",
... |
4824133992 | import pygame
from pygame import font
class Button():
def __init__(self,alien_setting,screen,msg):
# 初始化按钮属性
self.screen = screen
self.screenRect = screen.get_rect()
#设置按钮的尺寸和其他属性
self.width,self.height = 200,50
self.buttonColor = (0,255,0)
self.textColor = (... | hongnn/myRemoteWarehouse | alien_game/button.py | button.py | py | 1,077 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pygame.font.SysFont",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pygame.font",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "pygame.Rect",
"line_number": 16,
"usage_type": "call"
}
] |
74158129382 | # test_cloud_client.py
import pytest
from datetime import datetime
from testfixtures import LogCapture
from cloud_server import initialize_server, add_database_entry
from database_definitions import Patient
import io
import os
initialize_server()
pathname = os.getcwd()
full_pathname = pathname + '/images/test_image.... | pdijour/Patient_Monitoring_FullStack | test_cloud_client.py | test_cloud_client.py | py | 2,802 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "cloud_server.initialize_server",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.getcwd",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "cloud_client.convert_file_to_b64_string",
"line_number": 19,
"usage_type": "call"
},
{
"... |
16221940900 | # -*- coding: utf-8 -*-
from __future__ import absolute_import, unicode_literals, print_function
import unittest
from nose.tools import assert_in, assert_raises
from wechatsogou.const import WechatSogouConst
from wechatsogou.request import WechatSogouRequest
class TestBasicGenSearchArticleURL(unittest.TestCase):
... | chyroc/WechatSogou | test/test_request_gen_hot_url.py | test_request_gen_hot_url.py | py | 1,032 | python | en | code | 5,658 | github-code | 36 | [
{
"api_name": "unittest.TestCase",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "wechatsogou.const.WechatSogouConst.hot_index",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "wechatsogou.const.WechatSogouConst",
"line_number": 14,
"usage_t... |
35058044672 | from flask import Flask, request, jsonify
from flask_cors import CORS
from flask_sqlalchemy import SQLAlchemy
from sqlalchemy.engine import Engine
from sqlalchemy import event
import os
import sqlite3
database = SQLAlchemy()
app = Flask(__name__)
app.config.from_mapping(
SECRET_KEY = 'dev',
SQLALCHEMY_DATABASE... | Talha7011235/studentCourseInstructorDatabaseFlaskIndividualAssignment | backend/__init__.py | __init__.py | py | 857 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flask_sqlalchemy.SQLAlchemy",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sqlite3.Connection",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "sqlalc... |
36918913878 | # based on A Plus Coding's tutorial at: https://www.youtube.com/watch?v=GKe1aGQlKDY&list=PLryDJVmh-ww1OZnkZkzlaewDrhHy2Rli2
import pygame
import sys
from game_window_class import *
from button_class import *
FPS = 60 # max frames per second
EVALUATE_DAMPER = 10 # decrease to fo evaluations faster
WIDTH = 1150
HEIGHT... | ruankie/game-of-life | main.py | main.py | py | 5,738 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pygame.event.get",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "pygame.event",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "pygame.QUIT",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "pygame.MOUSEBUTTO... |
8797239686 |
import json
import torch
import torch.nn as nn
import torch.optim as optim
import torch.nn.functional as F
import torch.backends.cudnn as cudnn
import torchvision
import os
import argparse
from pathlib import Path
import tqdm
#import models
from models.backbone import Backbone
from models.classification_head import ... | rajatmodi62/multi-purpose-networks | train_conditioned.py | train_conditioned.py | py | 14,471 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "torch.device",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "torch.cu... |
247176838 | from trytond.model import ModelView, ModelSQL, fields
from trytond.pool import Pool
from sql import Table, Column, Literal, Desc, Asc, Expression, Flavor
from sql.functions import Now, Extract
from sql.operators import Or, And, Concat, ILike, Operator
from sql.conditionals import Coalesce
from sql.aggregate import Cou... | coalesco/trytond_songbook | artist.py | artist.py | py | 4,420 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "trytond.model.ModelSQL",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "trytond.model.ModelView",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "trytond.model.fields.Char",
"line_number": 25,
"usage_type": "call"
},
{
"api_name... |
19565236986 | import spacy
nlp = spacy.load('en_core_web_md')
with open('movies.txt', 'r') as f_movies:
movies = f_movies.readlines()
compare_movie = ('''Planet Hulk: Will he save
their world or destroy it? When the Hulk becomes too dangerous for the
Earth, the Illuminati trick Hulk into a shuttle and launch him into... | vho1988/semantic_similarity | watch_next.py | watch_next.py | py | 921 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "spacy.load",
"line_number": 3,
"usage_type": "call"
}
] |
7706902084 | from bert_models.base_bert_model import BaseBertModel
import joblib
from sklearn.ensemble import GradientBoostingClassifier
import os
import numpy as np
from sklearn.metrics import classification_report, confusion_matrix
from sklearn.metrics import f1_score
class BaseBertModelWithBoost(BaseBertModel):
def __init_... | MariyaIvanina/articles_processing | src/bert_models/base_bert_model_with_boosting.py | base_bert_model_with_boosting.py | py | 4,205 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "bert_models.base_bert_model.BaseBertModel",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "bert_models.base_bert_model.BaseBertModel.__init__",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "bert_models.base_bert_model.BaseBertModel",
"line... |
42979785156 | from django.core.paginator import Paginator, PageNotAnInteger, EmptyPage
from django.shortcuts import render
from django.template import RequestContext
from .models import Project
# Create your views here.
def index(request):
'''Show all news'''
posts_list = Project.objects.all().order_by('-id')
paginator ... | gulla-k/pwd | project/views.py | views.py | py | 749 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "models.Project.objects.all",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "models.Project.objects",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "models.Project",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "dj... |
71032555624 | """add adventure logs
Revision ID: 36dc23330424
Revises: 0db346b0362b
Create Date: 2022-02-06 21:15:27.347180
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '36dc23330424'
down_revision = '0db346b0362b'
branch_labels = None
depends_on = None
def upgrade():
... | lauraturnbull/griddle-earth | engine/migrations/alembic/versions/36dc23330424_add_adventure_logs.py | 36dc23330424_add_adventure_logs.py | py | 1,863 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "alembic.op.create_table",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integ... |
34566807465 | import pytorch_lightning as pl
from transformers import AdamW
class DST_Seq2Seq(pl.LightningModule):
def __init__(self, args, tokenizer, model):
super().__init__()
self.tokenizer = tokenizer
self.model = model
self.lr = args["lr"]
def training_step(self, batch, batch_idx):
self.model.train()
outputs = s... | minson123-github/ADL21-Final-Project | T5DST/model.py | model.py | py | 1,211 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pytorch_lightning.LightningModule",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "transformers.AdamW",
"line_number": 35,
"usage_type": "call"
}
] |
35015760399 | import argparse
import numpy as np
import torch
from copy import deepcopy
from gluonts.dataset.multivariate_grouper import MultivariateGrouper
from gluonts.dataset.repository.datasets import get_dataset
from gluonts.evaluation.backtest import make_evaluation_predictions
from gluonts.evaluation import MultivariateEvalu... | morganstanley/MSML | papers/Stochastic_Process_Diffusion/tsdiff/forecasting/train.py | train.py | py | 6,723 | python | en | code | 12 | github-code | 36 | [
{
"api_name": "warnings.simplefilter",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "torch.device",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "torch.cuda... |
73408801703 | from http.server import BaseHTTPRequestHandler, HTTPServer
import os
import cgi
import string
import random
from controller import *
hostname="localhost"
serverport=8000
global userid
userid=1
class server(BaseHTTPRequestHandler):
def do_GET(self):
if self.path =='/':
self.send_response(200)
self.send... | crash1604/PurePythonBackend | server.py | server.py | py | 5,714 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "http.server.BaseHTTPRequestHandler",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "cgi.parse_header",
"line_number": 106,
"usage_type": "call"
},
{
"api_name": "cgi.parse_multipart",
"line_number": 110,
"usage_type": "call"
},
{
"api_nam... |
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